We build computer vision, voice agents and private retrieval systems — then host them, monitor them and keep them working. Where your data cannot leave the building, they run on your hardware.
We hand you a system that is still our responsibility at 2am. These four decisions are why the work holds up.
01
It runs where your data lives
Every system here can run on hardware you control. Real Vision runs on a local GPU and no footage leaves the site. AI Caller's language model is a local instance with no cloud API dependency. That is an architectural decision made at the start, not a deployment option added later.
02
Designed for the failure case first
A model that is confident and wrong is worse than one that admits it does not know. Every system is built around what happens when it is uncertain — escalation paths on voice, review queues on extraction, flagged figures on anything financial.
03
Built to still work in month six
Monitoring, logging, container deployment and CI/CD from the first commit, because the difference between a demo and a system is entirely what happens after the demo. Degradation paths matter: when the GPU backend is missing, re-identification falls back rather than failing.
04
You own what we build
Source code, deployment and documentation transfer on final payment. Everything is standard, documented, auditable infrastructure — no proprietary platform you cannot leave.
04 Technology
Infrastructure you can audit
No proprietary black boxes. Everything is deployed with standard, documented tooling — and you own the source code at the end of the project.
Models & inference
Ollama
vLLM
YOLOWorld
Florence-2
faster-whisper
Qwen
Llama
Services
Python
FastAPI
Flask
Django
Node
PostgreSQL
SQLite
Redis
Interface
React
Next.js
TypeScript
Tailwind
React Native
Expo
Run & observe
Docker
Kubernetes
GitHub Actions
Jenkins
CUDA
Grafana
Sentry
Linux
05 Process
How a project runs
Fixed scope, fixed price, written acceptance criteria. Sometimes the audit concludes that building something is not worth it — we will tell you that.
01Week 0
Systems audit
We map one workflow end to end, put a number on what it currently costs, and tell you whether building something is worth it. Sometimes the answer is no.
02Weeks 1–6
Build
Fixed scope, fixed price, against written acceptance criteria. You get a working system you can use at the halfway point, not a demo at the end.
03Weeks 4–8
Supervised launch
The system goes live while we watch it. Two weeks of tuning against real traffic, real calls and real documents, included.
04Ongoing
Run
Hosting, monitoring, patching and monthly tuning as your business changes. Cancel any month with 30 days' notice.
06 Questions
The things people ask first
Where are you based?
Pune, India. We work with clients across the UK, the Gulf, Australia and North America, and schedule calls in your working hours rather than ours.
How big is the team?
Ruturaj leads all engineering directly, bringing in specialist designers and engineers per project. You deal with the person building your system — deliberately, so you are not sold by one person and handed to another.
Can our data stay on our own servers?
Yes, and for most of what we build that is the default rather than an upgrade. Self-hosted models, on-premises or in your own VPC, with nothing leaving your network.
What happens when the AI gets something wrong?
Every system is built with explicit escalation paths and confidence thresholds. Voice agents hand off to a human when they are out of depth; extraction pipelines route low-confidence items to a review queue instead of guessing. Designing the failure case is most of the work.
Who owns the code?
You do, in full, on final payment — along with the deployment and the documentation. You can take it to any other developer. Nothing is locked to a platform we control.
What does it cost to run?
Hosting, GPU and any model usage are billed at cost on your own accounts, with no markup. We estimate the range before you commit and flag it before you cross a tier.
Start here
Find out what it is costing you now.
Every engagement starts with a systems audit. We map one workflow, put a number on what it currently costs, and tell you what it would take to fix — including whether it is worth fixing.
